{"id":"W2106603185","doi":"10.1109/tbme.2004.836504","title":"Classification of Normal and Dysphagic Swallows by Acoustical Means","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Swallowing; Dysphagia; Linear discriminant analysis; Accelerometer; Segmentation; Gold standard (test); Medicine; Computer science; Pattern recognition (psychology); Artificial intelligence; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006938414,0.0004128864,0.0004830095,0.001483324,0.0001847826,0.0004742317,0.0002791516,0.0004887228,0.0007600326],"category_scores_gemma":[0.002635261,0.0001097581,0.0002051395,0.0002998144,0.0003190545,0.0004698177,0.0002882003,0.0002030398,0.0004094818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000119042,"about_ca_system_score_gemma":0.000160764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003502152,"about_ca_topic_score_gemma":0.0005870255,"domain_scores_codex":[0.9996711,0.00005756317,0.00005319906,0.00006512754,0.0001277725,0.00002527082],"domain_scores_gemma":[0.9992263,0.0003570353,0.00009283891,0.00005188972,0.0002044303,0.00006759213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001749383,0.0003674064,0.1289182,0.0003097973,0.00008045212,0.0005204284,0.0004550791,0.001849136,0.2411738,0.0007298622,0.0009719267,0.6228746],"study_design_scores_gemma":[0.0001383441,0.002242346,0.7807316,0.00009387379,0.000262389,0.005387375,0.001174708,0.1176055,0.08188104,0.002550186,0.007799991,0.0001327122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8593497,0.0007421112,0.1368039,0.0001413753,0.0001006437,0.0001038093,0.0002606435,0.000477951,0.002019986],"genre_scores_gemma":[0.933969,0.0003316792,0.06403451,0.00005318742,0.00009817413,0.00005084011,0.0003312316,0.00003307878,0.001098369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001483324,"threshold_uncertainty_score":0.003669441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828873165999044,"score_gpt":0.3131202053822256,"score_spread":0.2948314737222352,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}